Calders, T.
108  Ergebnisse:
Personensuche X
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1

Using minimum description length for process mining:

, In: Proceedings of the 2009 ACM symposium on Applied Computing,
Calders, T. ; Günther, C. W. ; Pechenizkiy, M.. - p. 1451-1455 , 2009
 
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2

Axiomatization of frequent itemsets:

Calders, T. ; Paredaens, J.
Theoretical Computer Science.  290 (2003)  1 - p. 669-693 , 2003
 
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3

Introduction to the special issue on discovery science:

Ceci M ; Calders T
info:eu-repo/semantics/altIdentifier/wos/WOS:000443875200001.  , 2018
 
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4

Itemset frequency satisfiability : complexity and axiomatiz..:

Calders, T
Calders , T 2008 , ' Itemset frequency satisfiability : complexity and axiomatization ' , Theoretical Computer Science , vol. 394 , no. 1-2 , pp. 84-111 . https://doi.org/10.1016/j.tcs.2007.11.003.  , 2008
 
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5

Efficient AUC optimization for classification:

Calders, T ; Jaroszewicz, S
Calders , T & Jaroszewicz , S 2007 , Efficient AUC optimization for classification . in J N Kok , J Koronacki , R Lopez de Mantaras , S Matwin , D Mladenic & A Skowron (eds) , Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007) 17-21 September 2007, Warsaw, Poland . Lecture Notes in Computer Science , vol. 4702 , Springer , Berlin, Germany , pp. 42-53 , conference; PKDD 2007, Warsaw, Poland; 2007-09-17; 2007-09-21 , 17/09/07 . https://doi.org/10.1007/978-3-540-74976-9_8.  , 2007
 
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6

Mining frequent items in a stream using flexible windows:

GOETHALS, Bart ; Calders, T ; Dexters, N
ECML/PKDD 2006 International Workshop on Knowledge Discovery from Data Streams (IWKDDS 06)..  , 2006
 
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8

Extraction of family relationships from historical document:

Efremova, I ; Calders, T.G.K
Efremova , I & Calders , T G K 2015 , ' Extraction of family relationships from historical documents ' , Dutch-Belgian Database Day 2015 (DBDBD 2015), December 16, 2015, Amsterdam, The Netherlands , Amsterdam , Netherlands , 16/12/15 - 16/12/15 pp. 1 ..  , 2015
 
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9

Recent developments in pattern mining:

Calders, T.G.K
Calders , T G K 2012 , Recent developments in pattern mining . in J-G Ganascia , P Lenca & J-M Petit (eds) , Discovery Science (15th International Conference, DS 2012, Lyon, France, October 29-31, 2012. Proceedings) . Lecture Notes in Computer Science , vol. 7569 , Springer , Berlin , pp. 2-2 , conference; 15th International Conference on Discovery Science; 2012-10-29; 2012-10-31 , 29/10/12 . https://doi.org/10.1007/978-3-642-33492-4_2.  , 2012
 
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10

Online discovery of top-k similar motifs in time series dat:

Hoang, T.L ; Ninh, D.P ; Calders, T.G.K
Hoang , T L , Ninh , D P & Calders , T G K 2011 , Online discovery of top-k similar motifs in time series data . in Proceedings of the Eleventh SIAM International Conference on Data Mining (SDM 2011, Mesa AZ, USA, April 28-30, 2011) . Society for Industrial and Applied Mathematics (SIAM) , Philadelphia PA , pp. 1004-1015 ..  , 2011
 
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11

Discrimination aware decision tree learning:

Kamiran, F ; Calders, T.G.K ; Pechenizkiy, M
Kamiran , F , Calders , T G K & Pechenizkiy , M 2010 , Discrimination aware decision tree learning . Computer science reports , vol. 1013 , Technische Universiteit Eindhoven , Eindhoven ..  , 2010
 
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12

Axiomatization and deduction rules for the frequency of ite..:

Calders, T.G.K
Calders , T G K 2003 , ' Axiomatization and deduction rules for the frequency of itemsets ' , Doctor of Philosophy , University of Antwerp , Antwerpen ..  , 2003
 
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13

Cross-sectional associations between 24-hour movement behav..:

Willems, Iris ; Verbestel, Vera ; Dumuid, Dorothea...
Journal of Science and Medicine in Sport.  27 (2024)  3 - p. 179-186 , 2024
 
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14

Evaluating airborne, mobile and terrestrial laser scanning ..:

D'hont, B. ; Calders, K. ; Bartholomeus, H....
Urban Forestry & Urban Greening.  99 (2024)  - p. 128428 , 2024
 
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THREE-DIMENSIONAL DEEP LEARNING FOR LEAF-WOOD SEGMENTATION ..:

Van den Broeck, W. A. J. ; Terryn, L. ; Cherlet, W...
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.  XLVIII-1/W2-2023 (2023)  - p. 765-770 , 2023
 
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